Data Analyst Lead

🏢 Tarshid
📍 Saudi ArabiaFull-timeOn-site
📅 Posted: 9mo ago
CV%
✨ AI Summary
The Data Analyst Lead will enable Tarshid’s business units to make data-driven decisions by collecting, cleaning, consolidating, and analyzing data from multiple systems to provide reliable reporting and insights. In the transition to a Data Lake, the role supports data requirements definition, data quality, and validation of migrated datasets, while preparing for future AI-driven analytics and scalable, self-service dashboards. Key responsibilities include building recurring and ad-hoc reports, creating dashboards and visualizations (Excel, Power BI) to monitor KPIs, and ensuring timely, accurate data insights to support decision-making.
Required Skills
Productivity & Workplace Tools
Excel
Information Technology
Power BIDashboardsKPI Reporting
Soft Skills & Professional Competencies
Data Analysis
Operations, Logistics & Supply Chain
Lean
Engineering, Construction & Trades
Validation
Requirements
The role requires gathering, validating, and consolidating data from multiple systems, developing recurring and ad-hoc reports, and building dashboards (Excel, Power BI) to track KPIs. It also involves supporting data lake implementation, defining data requirements, validating migrated datasets, and enabling advanced analytics and AI-driven insights in the long term.
Description
Job Description – Data Analyst Job Summary

The Data Analyst will play a critical role in enabling Tarshid’s business units to make data-driven decisions. In the short term, this role will focus on collecting, cleaning, consolidating, and analyzing data from multiple systems to provide reliable reporting and insights. In the medium to long term, the Data Analyst will actively contribute to the design, testing, and adoption of Tarshid’s Data Lake and Business Intelligence platforms, enabling advanced analytics and AI-driven insights across the organization.

Key Responsibilities Immediate (Pre–Data Lake)

- Gather, validate, and consolidate data from multiple siloed systems and manual sources.
- Develop recurring and ad-hoc reports for Finance, Strategy, Shared Services, and Operations.
- Build dashboards and visualizations (Excel, Power BI) to track KPIs such as project progress, financial performance, and energy savings.
- Highlight trends, anomalies, and risks to support timely decision-making.

Transition (During Data Lake Implementation)

- Support IT/Digital Transformation in defining data requirements, integration points, and reporting needs.
- Map existing manual reports to future automated dashboards.
- Identify data gaps, inconsistencies, and recommend data quality rules.
- Participate in testing and validation of migrated datasets and dashboards.

Future (Post–Data Lake)

- Leverage centralized data to deliver predictive and prescriptive analytics.
- Enable AI/ML use cases (e.g., IoT smart meters, energy savings forecasting, operational optimization).
- Create scalable, automated dashboards for business self-service reporting.
- Partner with business stakeholders to translate strategic questions into data-driven insights.

Key Performance Indicators (KPIs)

- Deliver recurring standard reports within agreed timelines (e.g., weekly, monthly).
- Respond to ad-hoc data requests within 2–3 business days, depending on complexity.
- Ensure accuracy levels of at least 95% in reports and dashboards delivered.
- Support incident resolution related to reporting/data accuracy within 1 business day.
- Participate in governance meetings and provide updates as per the DT/IT governance cadence.

✨ Premium Match Details
Deep-dive CV analysis, customized Cover Letters, and Interview prep!
📊 Match Analysis
Insights against your active CV
📊
Personalized Match Analysis
Upload your CV to see exact matching percentages, detailed skills mapping, and gap analysis for this role.
🎯 Overalli74%
⚡ Skillsi85%
View Breakdown
Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
View Breakdown
Local: 19600%
🏗️ Career Fiti91%
View Breakdown
Seniority: 91.0
📋 Requirementsi67%
View Breakdown
Domain: 67.0
🔥 Motivationi78%
View Breakdown
Title Fit: 78.00